Producing digital marketing content without knowing why or for whom is something that only causes
a waste of time and money. In times of Big Data, companies have a wealth of market data that they
can use to analyse and direct their content strategies.
Data marketing is a data-driven approach , which can also be implemented in content marketing .
In this perspective, every strategic decision on planning, production and promotion of content is
made based on the knowledge that data can provide about the market.
This way, you have more opportunities to produce content that sparks interest and achieves your
company’s marketing goals.
If you also want to achieve these results with your brand, read this article now to understand
how data-driven marketing can be used to optimize your content marketing.
- In the end, what is Data Marketing?
- What is the relationship between Data Marketing and content?
- How does Data Marketing contribute to Content Marketing?
- How to do data-driven content marketing?
- What are the main data tools for content marketing?
In the end, what is Data Marketing?
Data marketing or data driven marketing shop is the incorporation of data as a central axis of
marketing decision making . The creation of campaigns, the definition of the target audience, the
choice of a new channel, the production of content, all of this is guided by data.
However, data alone doesn’t tell you anything. A graph can show the average age of your audience, but
how can that be used to improve results?
Companies must have tools and procedures for collecting , processing and analyzing data , so that
human intelligence can transform them into useful information and insights to improve strategies.
These practices became more common with digital marketing. Before, marketing looked for market data to define the audience or the media for a strategy, for example. But it did not find the precision and volume of data that the Internet provides .
Today, it is possible to know all the steps of consumers , visitors to your website and even your competitors, in addition to monitoring the performance of all their actions. Thus, the information becomes much richer to serve as a basis for decision making .
Powered by data, marketing has a better chance of achieving its goals, taking smarter risks, and performing better.
Thus, those who know how to use data marketing have a competitive advantage in a market that increasingly demands greater efficiency and better results.
What is the relationship between Data Marketing and content? how-to-make
Content marketing is an area of marketing high bounce rates (abandoning a website in a short period of time) that must adopt a data-driven approach to be more efficient.
This strategy consists of creating relevant content for the audience with the aim of attracting their interest and generating more business from this approach with the brand. For this reason, it is one of the pillars of inbound marketing , that is, attraction marketing.
When content marketing decisions are driven by data, they become more targeted strategies. Data brings insights into audience behaviors and interests, the performance of published content, your competitors’ strategies , and much more.
This information can then be used to evaluate results and plan content to make it more relevant to the audience and meet marketing objectives.
How does Data Marketing contribute to Content Marketing?
Data marketing brings intelligence to taiwan lead content marketing . Instead of acting in the dark, creating content without purpose, you start to create strategies that are buyer-persona -oriented and results-focused.
Next, you will better understand how Data Marketing contributes to content strategies.
Knowing the audience how-to-make
Data helps you better understand the people your brand communicates with in your content marketing strategy.
By knowing who they are, how they live, what they like, what their challenges and motivations are, what problems they need to solve, and other characteristics, you will better understand how your content can be relevant to them .
With this information, you can describe the buyer persona of your strategy, which summarizes the profile, interests, needs and behavior of your ideal client and thus communicate better with them.
Plan content guidelines
Data analysis helps you understand what people are searching for on the Internet . You can learn about users’ search intentions and know what topics you can address in your content to satisfy them.
In this way, data helps define the content patterns you can produce, with more opportunities to attract interest and web traffic .
Furthermore, if you deliver good results that answer users’ questions, you have a great chance of achieving good organic positions on Google .
Mapping content channels
The data analysis also shows which are the best channels for publishing and promoting content, such as blog , Facebook, Instagram, email and others.
A person may go through several channels throughout their buying journey . Therefore, it is important to understand which platforms are used in this path and help the buyer persona the most to lead them to purchase.
This way, you can produce more efficient content for each channel and each stage.
Monitor the competition and benchmarks how-to-make
Data is also useful for understanding what is happening around your company. Competitive analysis in content marketing helps you map out your competitors’ strategies and benchmarks, find out what is working, and inspire you to come up with new content ideas.
In addition, you can also monitor your position in the market. In an SEO analysis, it is possible to know who competes with your brand in Google results , for example.
This way, you can analyze the strategies and understand what you need to do to conquer your space.
Identify seasonality how-to-make
One of the most important tasks of data analysis is to identify patterns of behavior . Among thousands and thousands of users, you can notice that interest in a certain topic increases with some seasonality.
Interest in topics related to the Olympic Games, for example, has a clear tendency to grow every four years.
Therefore, the most opportune time to produce content that generates more results is when those peak moments are approaching.